Articles with "unfolding network" as a keyword



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Deep Unfolding Network for PAPR Reduction in Multicarrier OFDM Systems

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Published in 2022 at "IEEE Communications Letters"

DOI: 10.1109/lcomm.2022.3195042

Abstract: In this letter, we propose a Deep Unfolding Network called PR-DUN to reduce the peak-to-average power ratio (PAPR), which is a thorny problem in Orthogonal Frequency-Division Multiplexing (OFDM) systems. The proposed multi-layer model is constructed… read more here.

Keywords: ofdm systems; unfolding network; papr reduction; deep unfolding ... See more keywords
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Dual-Branch Multiscale Channel Fusion Unfolding Network for Optical Remote Sensing Image Super-Resolution

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Published in 2022 at "IEEE Geoscience and Remote Sensing Letters"

DOI: 10.1109/lgrs.2022.3221614

Abstract: Single-image super-resolution (SR) technology is critical in remote sensing fields because it can effectively improve the details of target images. However, the application of deep learning is limited due to the lack of interpretability and… read more here.

Keywords: fusion; unfolding network; remote sensing; image ... See more keywords

Dynamic Path-Controllable Deep Unfolding Network for Compressive Sensing

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Published in 2023 at "IEEE Transactions on Image Processing"

DOI: 10.1109/tip.2023.3263100

Abstract: Deep unfolding network (DUN) that unfolds the optimization algorithm into a deep neural network has achieved great success in compressive sensing (CS) due to its good interpretability and high performance. Each stage in DUN corresponds… read more here.

Keywords: network; path controllable; dun; unfolding network ... See more keywords
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DECONET: an Unfolding Network for Analysis-based Compressed Sensing with Generalization Error Bounds

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Published in 2022 at "IEEE Transactions on Signal Processing"

DOI: 10.1109/tsp.2023.3272286

Abstract: We present a new deep unfolding network for analysis-sparsity-based Compressed Sensing. The proposed network coined Decoding Network (DECONET) jointly learns a decoder that reconstructs vectors from their incomplete, noisy measurements and a redundant sparsifying analysis… read more here.

Keywords: network; deconet; based compressed; unfolding network ... See more keywords